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motion block相关的网络例句

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与 motion block 相关的网络例句 [注:此内容来源于网络,仅供参考]

According to pruned tree theory of tree-structured source coding, a constrained growing based variable size block motion estimation algorithm was proposed.

基于树形结构信源编码的率失真修剪树理论,提出了基于约束生长的可变尺寸运动估计算法。

This paper proposes and investigates fast variable size block motion estimation algorithm based on merge and split procedures based on H.

本文提出了一种基于分裂与合并的快速运动估计和帧间模式选择算法,该算法以8×8为初始块尺寸,并以8×8块进行运动搜索,在此基础上,根据块间运动向量的相关性,结合块的边缘特性完成运动估计和块模式选择。

AVS is a new audio and video coding standard in China,in which variable block sizes and quarter-pel motion compensation have been applied to improve coding efficiency.

AVS是我国自主制定,拥有自主知识产权的音视频编码技术标准。AVS采用了可变大小块以及1/4像素精度的运动估计技术以提高编码效率。

AVS-M encoder complexity is remarkable due to mainly variable block size motion estimation and exhaustive RDO mode decision.

基于AVS-M的帧间模式快速选择算法:AVS-M是中国自主制订的数字音视频编码系列标准中的移动视频编码标准。

In this paper, the theory of variable block-size motion compensation in H.264 is given and the best mode statistical law of inter-frame video coding is analyzed at first. Then a novel fast mode decision algorithm based on prior detection is presented.

该文首先简要介绍了H.264帧间多模式编码原理,然后对帧间编码的最佳模式进行统计、分析,提出了一种基于先验预测的帧间编码模式选择快速算法。

In block match part, improves the diamond search algorithm and introduces the zero motion vector estimatios to reduce the search quantity.

在块匹配时,改进了钻石搜索算法,引入了零运动矢量估计,以减少搜索量。

The normal direction motion of the head block tips is excited by the anti-symmetrical mode.

利用定子的对称和反对称振动模态,在驱动足上形成椭圆振动轨迹。

The block feature based tracking only uses low level image information and does not rely on the models of different objects, thus it can be used to track the free motion of the head.

块特征跟踪算法仅利用图象低层信息而不依赖于目标的具体模型,可实现对头部自由运动的跟踪。

Image motion estimation ; Head tracking ; Block feature ; Tracking correction

图象运动估计;头部跟踪;块特征;跟踪校正

Firstly, this method previews the matching block and then acquires enough inliers using RANSAC algorithm, secondly, it estimates the global motion estimation parameter using LS algorithm.

该算法计算速度快,比传统的RANSAC算法利用了尽可能多的内点,并能克服传统LS算法易受错误匹配结果影响的缺点。

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